Arguably the most important tool of econometrics is regression analysis (for an overview of a linear implementation of this framework, see linear regression).
Econometric analysis can often be divided into timeseries analysis and crosssectional analysis[?]. Timeseries analysis examines variables over time, such as the effect of interest rates on national expenditure. Crosssectional analysis studies relationship between different variables at a point in time. For instance, the relationship between income, locality, and personal expenditure. When timeseries analysis and crosssectional analysis are conducted simultaneously, it is called panel analysis[?].
A simple example of a relationship in econometrics is:
This statement asserts that the amount a person spends is dependent on their income and their willingness to spend money. If we can observe personal expenditure and income, techniques such as regression analysis can then be applied to find the value of the coefficients, here just the propensity to spend. The estimated coefficient can then be compared across samples (such as different countries or income brackets) and conclusions made.
The above example can also be used to illustrate the many difficulties facing the applied econometrician. For instance, do we really know that the above relationship is correct? Perhaps the true relationship between personal expenditure and income is nonlinear (that is, curved). Even if we know the correct theory, it is not certain we can meaure personal expenditure and income correctly. For instance, the value of work by e.g. housewifes is not recorded although it contributes to income. There are also a variety of statistical pitfalls that potentially lead to incorrect conclusions. Econometrics has dealt extensively with such issues. Often it turns out to be difficult to fully implement the resulting methods in practice.
In order to classify business and industry, econometricians rely on two main systems: SIC codes and more recently NAICS codes.
People Lawrence Klein was awarded the Nobel Prize for Economic Sciences in 1980 for his computer modelling work in the field of econometrics.
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